preProcess: Compute a weighted sample from initial observations

Description Usage Arguments Value Note Author(s)

Description

Generates weights from initial sample.

Usage

1
preProcess(x, xgrid = NULL)

Arguments

x

Vector of independent and identically distributed numbers, not necessarily unique.

xgrid

Parameter that governs the generation of weights: If xgrid = NULL a new sample of unique observations is generated with corresponding vector of weights. If xgrid is a positive number, observations are binned in a grid with grid length xgrid. Finally, an entire vector specifying a user-defined grid can be supplied.

Value

x

Vector of unique and sorted observations deduced from the input x according to the specification given by xgrid.

w

Vector of corresponding weights, normalized to sum to one.

sig

Standard deviation of the inputed observations. This quantity is needed when computing the smoothed log-concave density estimator via evaluateLogConDens.

n

Number of initial observations.

Note

This function is not intended to be invoked by the end user.

Author(s)

Kaspar Rufibach, kaspar.rufibach@gmail.com,
http://www.kasparrufibach.ch

Lutz Duembgen, duembgen@stat.unibe.ch,
http://www.imsv.unibe.ch/about_us/staff/prof_dr_duembgen_lutz/index_eng.html


logcondens documentation built on May 2, 2019, 6:11 a.m.